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Kotlin Tooling Java To Kotlin

OrganizationPopular
Kotlin
kotlin-tooling-java-to-kotlin

Use when converting Java source files to idiomatic Kotlin, when user mentions "java to kotlin", "j2k", "convert java", "migrate java to kotlin", or when working with .java files that need to become .kt files. Handles framework-aware conversion for Spring, Lombok, Hibernate, Jackson, Micronaut, Quarkus, Dagger/Hilt, RxJava, JUnit, Guice, Retrofit, and Mockito.

Overview

PublisherKotlin
Repositorykotlin-agent-skills
Skill namekotlin-tooling-java-to-kotlin
Stars
1.1K
Forks
43
Bundled files
15
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 15 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Kotlin on GitHub. Read the source before you install it.

Installation

Install the Kotlin Tooling Java To Kotlin AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Kotlin/kotlin-agent-skills/tree/main/skills/kotlin-tooling-java-to-kotlin
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Kotlin/kotlin-agent-skills.git /tmp/kotlin-agent-skills
mkdir -p .claude/skills
cp -r /tmp/kotlin-agent-skills/skills/kotlin-tooling-java-to-kotlin .claude/skills/kotlin-tooling-java-to-kotlin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kotlin Tooling Java To Kotlin in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kotlin Tooling Java To Kotlin on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kotlin Tooling Java To Kotlin is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Java to Kotlin Conversion

Convert Java source files to idiomatic Kotlin using a disciplined 4-step conversion methodology with 5 invariants checked at each step. Supports framework-aware conversion that handles annotation site targets, library idioms, and API preservation.

Workflow

dot
digraph j2k_workflow {
  rankdir=TB;
  "User specifies files" -> "Step 0: Scan & Detect";
  "Step 0: Scan & Detect" -> "Load framework guides";
  "Load framework guides" -> "Step 1: Convert";
  "Step 1: Convert" -> "Step 2: Write .kt";
  "Step 2: Write .kt" -> "Step 3: Git rename";
  "Step 3: Git rename" -> "Step 4: Verify";
  "Step 4: Verify" -> "Next file?" [label="pass"];
  "Step 4: Verify" -> "Fix issues" [label="fail"];
  "Fix issues" -> "Step 1: Convert";
  "Next file?" -> "Step 0: Scan & Detect" [label="batch: yes"];
  "Next file?" -> "Done" [label="no more files"];
}

Step 0: Scan & Detect Frameworks

Before converting, scan the Java file's import statements to detect which frameworks are in use. Load ONLY the matching framework reference files to keep context focused.

Framework Detection Table

Import prefixFramework guide
org.springframework.*SPRING.md
lombok.*LOMBOK.md
javax.persistence.*, jakarta.persistence.*, org.hibernate.*HIBERNATE.md
com.fasterxml.jackson.*JACKSON.md
io.micronaut.*MICRONAUT.md
io.quarkus.*, javax.enterprise.*, jakarta.enterprise.*QUARKUS.md
dagger.*, dagger.hilt.*DAGGER-HILT.md
io.reactivex.*, rx.*RXJAVA.md
org.junit.*, org.testng.*JUNIT.md
com.google.inject.*GUICE.md
retrofit2.*, okhttp3.*RETROFIT.md
org.mockito.*MOCKITO.md

If javax.inject.* is detected, check for Dagger/Hilt vs Guice by looking for other imports from those frameworks. If ambiguous, load both guides.

Step 1: Convert

Apply the conversion methodology from CONVERSION-METHODOLOGY.md.

This is a 4-step chain-of-thought process:

  1. Faithful 1:1 translation — exact semantics preserved
  2. Nullability & mutability audit — val/var, nullable types
  3. Collection type conversion — Java mutable → Kotlin types
  4. Idiomatic transformations — properties, string templates, lambdas

Five invariants are checked after each step. If any invariant is violated, revert to the previous step and redo.

Apply any loaded framework-specific guidance during step 4 (idiomatic transformations).

Step 2: Write Output

Write the converted Kotlin code to a .kt file with the same name as the original Java file, in the same directory.

Step 3: Preserve Git History

To preserve git blame history, use a two-phase approach:

bash
# Phase 1: Rename (creates rename tracking)
git mv src/main/java/com/example/Foo.java src/main/kotlin/com/example/Foo.kt
git commit -m "Rename Foo.java to Foo.kt"

# Phase 2: Replace content (tracked as modification, not new file)
# Write the converted Kotlin content to Foo.kt
git commit -m "Convert Foo from Java to Kotlin"

If the project keeps Java and Kotlin in the same source root (e.g., src/main/java/), rename in place:

bash
git mv src/main/java/com/example/Foo.java src/main/java/com/example/Foo.kt

If the project does not use Git, simply write the .kt file and delete the .java file.

Step 4: Verify

After conversion, verify using checklist.md:

  • Attempt to compile the converted file
  • Run existing tests
  • Check annotation site targets
  • Confirm no behavioral changes

Batch Conversion

When converting multiple files (a directory or package):

  1. List all .java files in the target scope
  2. Sort by dependency order — convert leaf dependencies first (files that don't import other files in the conversion set), then work up to files that depend on them
  3. Convert one file at a time — apply the full workflow (steps 0-4) for each
  4. Track progress — report which files are done, which remain
  5. Handle cross-references — after converting a file, update imports in other Java files if needed (e.g., if a class moved packages)

For large batches, consider converting in packages (bottom-up from leaf packages).

Common Pitfalls

See KNOWN-ISSUES.md for:

  • Kotlin keyword conflicts (when, in, is, object)
  • SAM conversion ambiguity
  • Platform types from Java interop
  • @JvmStatic / @JvmField / @JvmOverloads usage
  • Checked exceptions and @Throws
  • Wildcard generics → Kotlin variance

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Kotlin Tooling Java To Kotlin AI skill do?

Use when converting Java source files to idiomatic Kotlin, when user mentions "java to kotlin", "j2k", "convert java", "migrate java to kotlin", or when working with .java files that need to become .kt files. Handles framework-aware conversion for Spring, Lombok, Hibernate, Jackson, Micronaut, Quarkus, Dagger/Hilt, RxJava, JUnit, Guice, Retrofit, and Mockito.

Why use Kotlin Tooling Java To Kotlin on TypingMind?

Because you install it once and use it with any model. Kotlin Tooling Java To Kotlin is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kotlin Tooling Java To Kotlin in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Kotlin/kotlin-agent-skills/tree/main/skills/kotlin-tooling-java-to-kotlin. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kotlin Tooling Java To Kotlin?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kotlin Tooling Java To Kotlin?

As many as you like. As long as a model supports skills, you can use Kotlin Tooling Java To Kotlin with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kotlin Tooling Java To Kotlin AI skill free?

Yes. It is published on GitHub by Kotlin under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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